Mohammad Ehsan Matour

Papers

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About

Mohammad Ehsan Matour is a researcher advancing the frontiers of human-robot interaction and intelligent manufacturing. His work centers on two key areas: force-controlled robotic manipulation and intuitive human-machine interfaces. In his most cited work, "Force Controlled Deburring using a Collaborative Robot" (2022, 6 citations), Matour introduces a novel approach to robotic deburring that departs from conventional spindle-based methods. By validating a simpler deburring tool through rigorous experimentation, he demonstrates how collaborative robots can perform precision tasks with enhanced flexibility and reduced cost—a significant contribution to adaptive manufacturing. His second notable paper, "Gesture Control of a Lightweight Industrial Robot Supported by Augmented Reality" (2023, 2 citations), tackles the challenge of universal robot programming. By replacing traditional teach pendants with gesture-based control augmented by AR, Matour creates an intuitive system that lowers the barrier to robot operation. This work bridges the gap between human intent and machine action, promising safer, more accessible industrial automation. With a focus on practical, validated solutions, Matour’s research is shaping the future of collaborative robotics, making sophisticated manufacturing tools more adaptable and user-friendly for a new generation of engineers.